锦鲤求职岗位描述
岗位描述
Business Discovery & Use Case Definition
● Embed within the WorldFirst marketing team to map end-to-end workflows across reach, acquisition, conversion, and lifecycle.
● Surface high-value AI opportunities tied to commercial KPIs (growth, efficiency, conversion, LTV).
● Translate messy, real-world marketing problems into scoped, executable agent use cases.
Agent System Build & Deployment
● Design and deliver AI solutions leveraging generative AI, agentic AI, RAG pipelines, and agent orchestration.
● Rapidly prototype within sprint cycles, then ship production-grade solutions integrated into our existing marketing, CRM, and analytics stack.
● Reuse and harden our core foundations: first-party data, connected systems, reusable workflows, human guardrails, and an evaluation framework that measures quality, risk, and commercial impact.
Adoption & Change Enablement
● Ensure solutions are adopted and embedded — not just built.
● Turn channel owners into workflow owners who run and improve their agent systems day to day.
● Capture feedback and continuously enhance what we've shipped.
Governance & Evaluation
● Align delivery with the Marketing AI roadmap, KPIs, and ROI targets.
● Own the evaluation framework: how we measure quality, risk, brand safety, and commercial impact of each agent.
● Feed regular updates into our monthly transformation rhythm.
Stakeholder Collaboration
● Act as the bridge between marketing teams, internal tech teams, data platforms, and our AI engineers.
● Communicate progress, risks, and trade-offs clearly to both technical and non-technical audiences across a global, multi-region organisation.
岗位要求
Qualifications
5+ years in software engineering, applied AI, solutions engineering, or marketing technology.
Proven track record shipping AI / automation / agent solutions that delivered measurable business outcomes and got adopted.
Strong working knowledge of LLMs, prompt engineering, RAG, and agent-based systems.
Integration experience with enterprise and marketing platforms (CRM, marketing automation, analytics, APIs, CDPs).
Exposure to Marketing, Sales, or Revenue Operations domains — ideally cross-border e-commerce or payments.
Understanding of transformation governance, KPIs, and ROI-tracking frameworks.
Comfortable operating in sprints and an ambiguous, fast-moving build environment.
Clear communicator across business and technical stakeholders; second-nature as a builder who learns by shipping.
Nice to have:
Experience with one or more of the major AI/marketing ecosystems relevant to our stack.
Background in consulting, solutions architecture, or cross-functional delivery.
Interest in (and opinions about) how autonomous marketing systems should be governed.